Spring 2023 Info Session - New Mathematics for the Exascale: Applications to Materials Science

Recorded 29 September 2022. Apply now to join us in Los Angeles for our spring 2023 three month program, "New Mathematics for the Exascale: Applications to Materials Science." In this video, IPAM's Deputy Director Christian Ratsch and Danny Perez of the Los Alamos National Laboratory explain the series of week-long workshops and the team research that happens at IPAM.

Program Overview: The explosive increase in computing power delivered by modern supercomputers promises unprecedented simulations scale and fidelity. Their massively-parallel architectures however pose formidable challenges to algorithm and software development. For example, fully harnessing exascale computers, which will deliver in excess of 1018 operation per second, will require simultaneously executing on the order of a billion operations without being limited by communication and synchronization overhead. This severely constrains the types of simulations that are expected to make efficient use of upcoming exascale architectures, and hence risks limiting their scientific impact in the computational sciences.
The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.